Software Engineering Manager II, AI/ML Recommendations, Rankings, Predictions, Google Ads

Google Ads is seeking a Software Engineering Manager II to lead their AI/ML Recommendations team. This role combines technical leadership with people management, focusing on building and optimizing recommendation systems and ML infrastructure. The position offers an opportunity to work at one of the world's leading tech companies, managing multiple teams across different locations.

The role requires a strong background in software development and machine learning, with specific expertise in recommendation systems, model deployment, and ML infrastructure optimization. You'll be responsible for leading technical vision, managing team priorities, and ensuring the successful deployment of large-scale projects.

As a manager at Google, you'll guide a team of engineers while contributing to product strategy and technical decisions. The role involves working with cutting-edge technology in areas such as artificial intelligence, natural language processing, and large-scale system design. You'll be part of Google Ads, which helps power the open internet by connecting people, publishers, and advertisers through effective advertising solutions.

The position offers competitive compensation, including a strong base salary range of $189,000-$284,000, plus bonus, equity, and comprehensive benefits. You'll work in either Mountain View or Los Angeles, CA, contributing to Google's advertising products that serve businesses of all sizes.

This is an excellent opportunity for experienced technical leaders who want to make a significant impact on products used by millions while developing and mentoring engineering talent. The role combines the excitement of working with advanced AI/ML technology with the challenges of leading teams in a complex, matrix organization.

You'll be part of Google's mission to organize the world's information while helping businesses grow through effective advertising solutions. The role offers the chance to work with some of the best engineers in the industry, tackle complex technical challenges, and shape the future of advertising technology.

If you're passionate about technical leadership, have deep expertise in ML systems, and want to drive innovation at scale, this role offers the perfect blend of technical and leadership challenges in a company known for its engineering excellence and global impact.